AI-powered elderly safety
Detect. Understand. Act.
TES protects aging loved ones by detecting risks early, understanding context, and alerting the right person when it matters.
Recent Alerts
Fall Detected
2 min ago • High confidence
Unusual Inactivity
12 min ago • Medium confidence
All Clear
45 min ago • Resolved
Incident Review
System detected rapid downward motion consistent with fall event.
Live View
Proactive Detection
Falls, cardiac events, strokes — detected in milliseconds on the edge.
Emotional Awareness
Analyzes voice and facial cues to understand emotional risk and isolation.
Contextual LLM
Reduces false alarms by 90% with reasons. Explains every decision.
Private by Design
Edge-first processing with AES-256 encryption. Zero cloud exposure.
Detect. Understand. Act.
Edge-AI that detects emergencies early, understands emotional risk, and notifies the right person — fast.
Sense
Multi-modal sensors capture movement, voice, and vitals in real-time.
Understand
Edge AI + LLM analyzes context to distinguish real emergencies from daily life.
Act
Smart escalation notifies family, caregivers, or services in seconds.
TES vs Conventional Systems
| Feature | Conventional | TES |
|---|---|---|
| Real-time Detection | ❌ | ✓ |
| Context Awareness | ❌ | ✓ |
| False Alarm Reduction | Manual Rules | AI-powered |
| Edge Processing | ❌ | ✓ |
| Privacy | Cloud-dependent | On-device First |
| Latency | 2–5 seconds | <200ms |
97%
Detection Accuracy*
<200ms
Edge Latency
AES-256
Encrypted
*Pilot data from 50+ patients. HIPAA-compliant study coming soon.
Built on Raspberry Pi 4 + Coral TPU + Huawei Cloud